Development of a Monthly Near real-time Carbon Monitoring System for Agriculture Areas
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Abstract
The development of a near real-time agricultural monitoring system for monthly carbon sequestration in agriculture aimed to study the amount of net primary production in agricultural areas and to develop a system for above ground carbon sequestration calculating in farming area at near real-time net primary yield analysis. Daily TERRA/AQUA MODIS satellite data in 2017 with 250 m spatial resolution in the red and near-infrared wavelengths within 8 days about 44 periods were used for weekly averages net primary production calculation which were represented in monthly data format. The 3PGS model was used for analyzing a net primary production. The average and the total amount of net primary production in farmland were 4.59 gC/m2/day and 800,113.4 tonC/day, respectively. The result from the model was statistically correlated with the field survey data with R2 = 0.72 at 95% confidence interval. The orchard area was the highest average net primary production which was 5.36 gC/m2/day of the total net primary production. The net primary production in rice fields and other crops was about 86% of the total net primary in the area. Python package called PyModis as well as Python-based automated data download tool were used in the model to develop and calculate a net primary production and carbon sequestration system. This study provides a system for automatic daily data downloading which is capable for near-real-time automatic calculation of net primary production and carbon sequestration. The data from the system will be produced as a web map service to the user later.
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